@conference {cMartinez14,
	title = {3D Shape Reconstruction from a Humanoid Generated Video Sequence},
	booktitle = {IEEE International Conference on Humanoid Robots},
	year = {2014},
	address = {Madrid},
	abstract = {<p>This paper presents a strategy for estimating the\&nbsp;geometry of an interest object from a monocular video sequence\&nbsp;acquired by a walking humanoid robot. The problem is solved\&nbsp;using a space carving algorithm, which relies on both the\&nbsp;accurate extraction of the occluding boundaries of the object as well as the precise estimation of the camera pose for each video frame. For data acquisition, a monocular visual-based control has been developed that drives the trajectory of the robot around an object placed on a small table. Due to the stepping of the humanoid, the recorded sequence is contaminated with\&nbsp;artefacts that affect the correct extraction of contours along the\&nbsp;video frames. To overcome this issue, a method that assigns a fitness score for each frame is proposed, delivering a subset\&nbsp;of camera poses and video frames that produce consistent 3D shape estimations of the objects used for experimental evaluation.</p>},
	author = {Mart{\'\i}nez, P. A. and David Varas and Castel{\'a}n, M and Camacho, M and Marqu{\'e}s, F. and Arechavaleta, G.}
}
